Table 1.
Parameter | Description |
---|---|
Country of data source | |
United States | 50 (61.7) |
China | 13 (16.0) |
Others | 15 (18.5) |
Not reported | 3 (3.7) |
Follow-up time, in years | [0.8, 24], 8.9 (5.6), 10 [4–12], (70.4) |
Sample size | [398, 29 163 297], 585 981 [3 611 801], 32 221 [7845–105 805], (18.5) |
Demographic descriptors | |
Median age | [29, 74.6], 55.6 (13.4), 56.1 [46.2–65.4], (23.5) |
Sex (female) | [0, 100], 51 (20.6), 49.8 [43–61.4], (29.6) |
Socioeconomic information reported | 6 (7.4) |
Age limit definition | 19 (23.5) |
Main condition definition | 27 (8.6) |
Information included | |
Demographics | 39 (48.2) |
Diagnoses | 60 (74.1) |
Laboratory results | 38 (46.9) |
Prescribed/billed drugs | 43 (53.1) |
Medical procedures | 31 (38.3) |
Clinical measures | 31 (38.3) |
Information included simultaneously (n) | [1, 6], 3 (1.3), 3 [2–4], (98.8) |
Others (eg, free text, genes…) | 17 (21) |
Types of variables | |
All quantitative | 7 (8.6) |
All categorical | 39 (48.1) |
Both | 35 (43.2) |
Categorical parameters are described as N (%), while quantitative parameters as [min, max], mean (SD), median [Q1-Q3], (% studies reported). Total N = 81. If more than one dataset was used to train the models, only the parameters of the biggest dataset were collected.